1.
2 major transitions:
A. Revolution and Collective era
i.
Great Leap Forward
1. Moderate- Liu Shao qi, etc. need 15-20 years for transition in order to industrialize the country
2.
Radical- Maos side, need to transit in 3 years
A. Result Famine
ii.
2.
C
Stat 102B -Computation and Optimization in Statistics
Projections
NAME (Last, First): UCLA ID: Date:
J. Sanchez
UCLA Department of Statistics
Topic 1. Introduction: We saw in handout 2 the concept of projection of a vector onto a one-dimensional space (a
Stat 102B -Computation and Optimization in Statistics
Intro to PC
NAME (Last, First): UCLA ID: Date:
J. Sanchez
UCLA Department of Statistics
Introduction: We start now principal components (PC), one of the most popular dimension reduction techniques use
Chapter 7
Blocking and Confounding
in the 2k Factorial Design
Introduction
In Chapter 5, we were introduced to blocking
in factorial designs.
In Chapter 7, we will focus on some special
techniques for blocking in the 2k factorial
design.
Example
Consider
Stat 102B -Computation and Optimization in Statistics
Markov Chain Montecarlo. Introduction
NAME (Last, First): UCLA ID: Date:
J. Sanchez
UCLA Department of Statistics
Topic 1. Introduction
Random numbers are used to approximate integrals that are diffic
Stat 180/C236
Lab 5
0.1
J. Sanchez
UCLA Department of Statistics
Introduction: Gibbs sampling to estimate the joint posterior distribution and marginal distributions of the mean and variance of normal data
As we said in class, Gibbs sampling allows us to
Manly, Bryan F.J., and Navarro Alberto, Jorge A. Multivariate Statistical Methods : A Primer, Fourth Edition (4). Boca Raton, US: Chapman and Hall/CRC, 2016. ProQuest ebrary. Web. 19 March 2017.
Copyright 2016. Chapman and Hall/CRC. All rights reserved.
M
Stat 102B - Computation and Optimization in Statistics
Homework 6
J. Sanchez
UCLA Department of Statistics
Instructions
(1) You will upload a lastname-ID.pdf file, typed, with the answers to all these questions, including the plots and
tables requested, i
Stat 102B - Computation and Optimization in Statistics
Homework 7
J. Sanchez
UCLA Department of Statistics
Instructions
(1) You must turn in at the beginning of class a hard copy of this handout with hand written answers to all the questions
asked in this
Stat 102B - Computation and Optimization in Statistics
Homework 6
J. Sanchez
UCLA Department of Statistics
Instructions
(1) You must turn in at the beginning of class a hard copy of this handout with hand written answers to all the questions
asked in this
Stat 102B - Computation and Optimization in Statistics
Lab assignment 2
J. Sanchez
UCLA Department of Statistics
Instructions
(1) You must turn in this copy with your answers, when an answer is asked for. There are 4 problems.
(2) Homework must be stapled
STAT 101C
HW 1 due Thursday April 13
1.
Look at the data Heart.csv on the website under Week 1.
These data contain a binary outcome HD for 303 patients who presented with chest pain. An
outcome value of Yes indicates the presence of heart disease based on
(a) 1 and 2 have been normalized. Let V = (1 , 2 ). Then
1/5
5
2
5
A = V V t =
0
2/ 5 1/ 5
0
5
1/5
2/ 5
2
5
.
1/ 5
(b) Since i > 0 for i = 1, 2, A is positive definite by theorem that a symmetric matrix is positive definite if and
only if all ei
Stats 102B Midterm Exam
Winter 2015
Name:
UID:
There are 4 questions for a total of 40 points. Please include necessary intermediate
results. Use only the paper provided. You may write on the back if you need more space, but
please indicate on the front.
Rosemary Tamayo
Professor Olivia A.
Extra Credit Assignment
06/06/2016
Extra Credit Prototype Stereotype Assignment (The Innocent)
Prototype:
Hi there, my name is Caroline. I am 19 years old was born to two wonderful parents,
Mary and Tim. I am 54, with b
Grad Student Career Opportunities in
Technology Consulting
Property of UCLA Career Center, file transfer or distribution is prohibited.
Company/
Firm
Accenture
Booz Allen
Hamilton
Relevant Information
Locations
Accenture is a global management consulting,
Philos 100a
2nd Paper
Your second paper should be between 6-7 pages. Your paper should answer one of these two
prompts:
1) In The Republic, Plato gives the analogy of the cave and the sun to illuminate how we come to
know the Form of the Good. Aristotle c
Addressing Gender Inequality as Social Development Objective
Gender Inequality has been an ongoing social problems in many countries, including
India. There are often prescribed gender roles for male and female members in our society that
these members ar
WORKING TO MAKE THE BALTIMORE REGION STRONGER
With five of its 12 institutions located in the greater Baltimore region and a strong
commitment to community service, the University System of Maryland (USM) has a long
and rich history of working to enhance
Stat 102B
Midterm 1
J. Sanchez
UCLA Department of Statistics
ROOM: BUNCHE 1209B.
DO NOT DETACH ANY PAGES OF THIS EXAM
UCLA ID: YOUR ID MUST
ALSO BE WRITTEN ON THE SCANTRON AND BOTH SIDES OF YOUR CHEAT SHEET. LEAVE ID ON
THE DESK DURING THE EXAM.
LAST NAME
Stats 102B Homework 5
1. Find the gradients and the Hessians of the following functions.
(a) f (x) = xT Ax + bT x + c, where A is a symmetric and negative definite matrix, b is a
vector and c is a scalar.
(b) f (x) = kx k2 , where is a vector.
2. For each
Stats 102B Homework 2
1. Let
A=
1 4
2 0
, B=
1 3 0
5 1 2
.
(a) Calculate AB, B T B, BB T , det(A), det(B T B).
(b) Is BB T a positive definite matrix? Why or why not?
2. Find the eigenvalues and eigenvectors of
1 0 4
A = 2 1 4 .
4 0 1
Is A diagonalizable?
Stats 102B Homework 1
1. Suppose that (X1 , . . . , Xn ) is an iid sample from the Uniform distribution Unif(0, b).
(a) If b is given, find P (b X(n) < ), where (0, b). What happens if n ?
(b) If we have observed X1 , . . . , Xn , find the maximum likelih
Stats 102B Homework 3
1. For each of the following bivariate normal distribution, find its principal components,
sketch a typical scatter plot of data from the distribution, and label the eigenvectors of its
covariance matrix on the scatter plot.
9 5
3 0
Stats 102B Homework 4
(for practice only)
1. Denote by X = (X1 | X2 ) a centered 50 2 data matrix and by SX its variance-covariance
matrix. Suppose the eigenvalues of SX are 1 = 5.4 and 2 = 0.6 and the associated
eigenvectors are v1 and v2 , respectively.
Stat 102B - Computation and Optimization in Statistics
Homework 4
J. Sanchez
UCLA Department of Statistics
Instructions
(1) You must do problems 2 and 3. Problem 1 is solved already.
(2) Upload this homework to CCLE in place indicated in the Homework fold